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molecular and population genetic analyses, and carry out experiments investigating the effects of warming and dispersal on phytoplankton populations and communities. The successful candidate will have the
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(pure and metal-doped) and carbon chains in supernova ejecta. • Apply molecular dynamics (MD) methods to simulate the formation of alumina agglomerates. • Use ab initio wave function methods to model
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 2 months ago
for the Research Group Biofluorescence: PhD candidate (f/m/d) This project, funded by the DFG as part of CRC 1752, "DYNAMO: Immediate Tumor Dynamics in Melanoma Therapy“ (https://www.uni-due.de/crc1752/ ) seeks
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sequencing, proteomic, and multiomic methods to understand the molecular make-up of human dorsal root ganglion cells and human spinal cord cells. This is a grant funded position, and continued employment is
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, senescence, and aging. MAIN RESPONSABILITIES The successful candidate will explore the molecular and epigenetic mechanisms controlling the SIRT7/PAX5 interplay in B-cell differentiation and B-Acute
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246 Starting date: Start date is flexible. Email: [email protected] Websites: https://medicine.yale.edu/profile/william-kim Introduction of School/Department Department of Urology at Yale School
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simulation methods, including coarse-grained molecular dynamics, and perform rigorous verification and validation using datasets provided by our collaborators. You will analyze simulation results to identify
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at Harvard Medical School utilizes mouse genetics, molecular biology, histological and behavioral approaches and electrophysiology to understand neurobiological mechanisms of touch and pain. We are seeking a
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Yale University School of Medicine - Department of Neuroscience | New Haven, Connecticut | United States | 12 days ago
intelligence and machine learning are changing all aspects of neuroscience from analysis of neural activity to network modeling to imaging to bioinformatics to molecular modeling. We are enthusiastic about